Coding
Like-for-like- GPT-5.4
- 57.7
- Hy4 preview
- 65.7
- Weighted basis
- 1 vs 1 rows
- Reading
- Hy4 preview leads
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
Start the free Radar BriefUpdated August 28, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Hy4 preview has the higher public score estimate, 79.16 versus 73.56, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
9 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Code generation, repair, and software-engineering tasks
Hy4 preview
Hy4 preview leads on the same 1 weighted benchmark row.
Confidence: limited
Prompts that approach the documented context limit
GPT-5.4
GPT-5.4 has the larger documented context window.
Confidence: documented
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
| Category | GPT-5.4 | Hy4 preview | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 57.7 | 65.7 | Like-for-like1 vs 1 rows | Hy4 preview leads |
| Knowledge | 57.6 | 60.4 | Like-for-like2 vs 2 rows | Hy4 preview leads |
| Multimodal | 73.2 | 66.2 | Directional only3 vs 1 rows | Directional only |
| Agentic | 77.2 | Not measured | Not comparable3 vs 0 rows | Not comparable |
| Reasoning | 74.0 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Math | 42.5 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
OfficeQA Pro
Multimodal
SWE-bench Pro
Coding
HLE
Knowledge
GPQA
Knowledge
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
1K fresh input + 500 output tokens
Hy4 preview has no comparable published API token rate.
50K fresh input + 3K output tokens
Hy4 preview has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Hy4 preview has no comparable published API token rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
GPT-5.4
1.05M
OpenAI pricingHy4 preview
GPT-5.4
gpt-5.4
OpenAI pricingHy4 preview
tencent/Hy4-preview
Tencent Hy4 preview model cardA missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
GPT-5.4
$0.25 per 1M cached input tokens
OpenAI pricingHy4 preview
No comparable hosted API rate
Tencent Hy4 preview model cardGPT-5.4
Not sourced
Hy4 preview
Not sourced
GPT-5.4
Not sourced
Hy4 preview
Not sourced
GPT-5.4
Not sourced
Hy4 preview
Not sourced
GPT-5.4
Reasoning
Hy4 preview
Reasoning
GPT-5.4
Proprietary
Hy4 preview
Open Weight
GPT-5.4
Proprietary
Hy4 preview
Open Weight
GPT-5.4
2026-03-05
Hy4 preview
2026-08-28
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.0
Not directly comparable
CyberGym
GPT-5.4 leads this result
BrowseComp
Not directly comparable
OSWorld-Verified
Not directly comparable
MCP Atlas
Hy4 preview leads this result
Toolathlon
Not directly comparable
τ²-bench results
Not directly comparable
Claw-Eval
Not directly comparable
DeepSearchQA
Not directly comparable
Gert Labs
Not directly comparable
ResearchClawBench
Not directly comparable
JobBench
Hy4 preview leads this result
ExploitGym
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
WideResearch
Not directly comparable
DRACO
Not directly comparable
Toolathlon-Verified
Not directly comparable
APEX-Agents
Not directly comparable
skillsBench
Not directly comparable
Agents' Last Exam
Not directly comparable
AutomationBench
Not directly comparable
BankerToolBench
Not directly comparable
HLE w/ tools
Not directly comparable
LiveCodeBench Pro
Not directly comparable
SWE-bench Pro
Hy4 preview leads this result
React Native Evals
Not directly comparable
Vibe Code Bench
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
SWE Multilingual
Not directly comparable
deepSwe
Not directly comparable
NL2Repo
Not directly comparable
ProgramBench
Not directly comparable
PostTrain Bench
Not directly comparable
sweMarathon
Not directly comparable
GPQA
GPT-5.4 leads this result
HLE
Hy4 preview leads this result
HLE w/o tools
Hy4 preview leads this result
GPQA-D
GPT-5.4 leads this result
HealthBench Hard
Not directly comparable
MedXpertQA (Text)
Not directly comparable
HealthBench Professional
Not directly comparable
MMMU-Pro
Not directly comparable
OfficeQA Pro
Hy4 preview leads this result
MMMU-Pro w/ Python
Not directly comparable
CharXiv
Not directly comparable
ERQA
Not directly comparable
SimpleVQA
Not directly comparable
ScreenSpot Pro
Not directly comparable
ZeroBench
Not directly comparable
MedXpertQA (MM)
Not directly comparable
Hy4 preview has the higher public score estimate, 79.16 versus 73.56, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Hy4 preview leads the like-for-like coding comparison across 1 shared weighted benchmark row.
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
GPT-5.4 has the larger documented context window: 1.05M, compared with 1M.
Last updated August 28, 2026
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